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Vetted Hugging Face Professionals
Pre-screened and vetted.
Krishna Sahith Poruri
Mid-level AI/ML Engineer specializing in LLMs, RAG, and MLOps
“ML/LLM engineer who built a production RAG system (GPT-4 + FAISS + FastAPI) to deliver fast, grounded answers from proprietary documents, optimizing for sub-200ms latency and high-concurrency scale. Strong MLOps/observability background: drift monitoring with Prometheus + Streamlit, automated retraining via Airflow, Kubernetes autoscaling, and MLflow-managed model lifecycle, plus inference cost reduction through quantization and structured pruning.”
kartik kanotra
Mid-level Software Developer specializing in cloud data engineering and MLOps
“Software engineer with strong AWS production experience, including an end-to-end historical backfill system exporting ~10PB of CloudWatch logs into a data lake using Step Functions/Kinesis/Lambda/Firehose/Glue. Emphasizes reliability and operability (DynamoDB checkpointing, monitoring dashboards, CI/CD with canary tests) and has also built customer-facing UI work for the Visa Developer Portal using Angular + Spring Boot, plus React/Redux frontend work.”
Ollie Jones
Executive Unity/XR Engineer specializing in real-time mocap and volumetric streaming
“Technical Director/Unity Lead who has shipped multiple Meta Quest immersive experiences and built custom Unity editor tooling to solve content-heavy pipeline constraints, enabling artists to push content directly into a Unity sandbox. Also prototyped a Unity restaurant simulation where an LLM drives NPC reasoning and state machines, using RAG and memory augmentation to reduce hallucinations and stuck behaviors.”
Entry Software Engineer specializing in AI infrastructure and ML inference systems
Mid-level AI/ML Engineer specializing in NLP/LLMs and production ML systems
Executive engineering leader specializing in capital markets, risk systems, and FinTech
Mid-level AI/ML Engineer specializing in LLMs, RAG, and multi-agent systems
Intern Full-Stack Engineer specializing in AI-driven RAG applications
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and GPU-accelerated cloud systems
Intern Biomedical Data Scientist specializing in healthcare AI and LLM-based clinical NLP
Mid-level Full-Stack Software Engineer specializing in distributed systems and GenAI platforms
Junior Software Engineer specializing in AI infrastructure and applied machine learning
Senior Full-Stack Engineer specializing in telehealth and commerce platforms
Senior Software Engineer specializing in AI infrastructure and cloud platforms
Mid-level AI Solutions Architect & Product Leader specializing in enterprise GenAI systems
Intern Software Engineer specializing in full-stack, cloud, and AI systems
Vigynesh Bhatt
Mid-level Software Engineer specializing in backend, cloud, and ML systems
“Software engineer with experience across Goldman Sachs, BYU Broadcasting, Juniper Networks, and an edtech startup (Doubtnut), spanning data migrations, AWS-based media backends, and microservices observability. Built a Redis/ElastiCache caching layer in front of DynamoDB/S3 to improve media delivery latency and cost, and created an SEO indexing automation tool using the Google Search Console API that saved ~15–30 person-hours per day.”